Use cases | Control9

Governed Terraform / OpenTofu

Approve the plan that actually reaches production apply.

Problem: Plan output and job logs do not prove who authorized a production apply.
Control9: Control9 classifies Terraform and OpenTofu plan risk in GitHub Actions or GitLab, requires approval when needed, and keeps a durable trail.

Not Terraform Cloud, Spacelift, or a remote execution platform.

Review template risk without moving deploy off your pipeline.

Problem: CDK and CloudFormation diffs are hard to review at production scale.
Control9: Control9 evaluates template changes in the pipeline you already run, then records approvals and fingerprints outside CI retention windows.

Not an IDP or broad IaC orchestration product.

Let agents move faster while every change stays governed and tracked.

Problem: Agentic workflows can ship Terraform and CDK faster than human review can keep up.
Control9: Control9 sits on the same GitHub Actions and GitLab paths agents use, applying policy, approvals, and tracking without writing the code.

Not an AI agent or coding assistant.

Confirm the approved artifact is the one that deployed.

Problem: Reviewed plans can drift before apply through reruns, variable changes, or manual steps.
Control9: Control9 checks the deployed artifact against what was reviewed and surfaces mismatches on the evidence timeline.

Not a full-cloud drift scanner.

Keep who approved what after the job logs are gone.

Problem: Chat approvals and ephemeral CI logs do not survive audits or incidents.
Control9: Control9 records intent, decision, approver, and linked pipeline context so security can answer authorization questions later.

Not an identity provider or ITSM replacement.

See production mutations that skipped the governed path.

Problem: Console changes and side automation can mutate production outside the approved pipeline.
Control9: Control9 correlates cloud audit signals with governed pipeline activity and highlights unmatched mutations.

Correlation and visibility, not a claim that every bypass is blocked.

Observe first. Enforce after the findings are trusted.

Problem: Teams need controls, but hard gates without baseline data create friction and blind spots.
Control9: Run two to four weeks in shadow mode, review ranked findings, then enable enforce mode on the paths that matter.

Observe-only first. Production deploys keep running.